Robuta

https://ascmo.copernicus.org/articles/9/103/2023/
statistical downscalingsolar radiationuncertainty
https://www.scirp.org/journal/paperinformation?paperid=37964
Investigating recurrent networks for downscaled meteorological fields in ERA-40 re-analysis dataset. Comparing two types of neural networks for meso-scale...
on therecurrent networksdownscalingmeteorologicalfields
https://www.mdpi.com/2073-4441/10/8/1046
The systemic biases of Regional Climate Models (RCMs) impede their application in regional hydrological climate-change effects analysis and lead to errors. As...
comparingbiascorrectionmethodsused
https://aguassubterraneas.abas.org/asubterraneas/article/view/29839
developmentpluginspatialdownscalingsatellite
https://www.mdpi.com/2072-4292/13/8/1580
Land surface temperature (LST) is a vital physical parameter in geoscience research and plays a prominent role in surface and atmosphere interaction. Due to...
land surfacedownscalingtemperaturebasednon
https://www.scirp.org/journal/articles?searchcode=Climate+Change%3B+Statistical+Downscaling%3B+Rainfall-Related+Flooding+Risks%3B+Water+Damage%3BInsurance+Claims%3B+Canada&searchfield=keyword&page=1
Climate Change; Statistical Downscaling; Rainfall-Related Flooding Risks; Water Damage;Insurance Claims; Canada
climate changestatistical downscalingwater damagerainfallrelated
https://arxiv.org/abs/2502.20132
Abstract page for arXiv paper 2502.20132: Regional climate projections using a deep-learning-based model-ranking and downscaling framework: Application to...
deep learningregionalclimateprojectionsusing